应用于低频振荡在线监测的并行时频原子复带通滤波方法  

Concurrent Time-frequency Atom Complex Band-pass Filter Based Method for Online Monitoring Low-frequency Oscillation

作　　者：刘林[1] 林涛[1] 徐遐龄[2] 李继升[3] 黄涌[3] 许汉平[3] 

机构地区：[1]武汉大学电气工程学院 [2]华中电力调度通信中心 [3]华中电力科学研究院

出　　处：《中国电机工程学报》2011年第25期58-65,共8页Proceedings of the CSEE

基　　金：国家自然科学基金项目(50677044);湖北省自然科学基金青年杰出人才项目(2006ABB006);教育部留学回国人员科研启动基金资助项目~~

摘　　要：利用广域测量系统实测数据,提出基于并行时频原子复带通滤波的低频振荡在线监测新方法。在振荡频率区间内并行设置多个时频原子复带通滤波单元,通过并行滤波计算,能获取各模式幅值、瞬时频率和衰减系数,再利用粒子群优化算法估计相位参数。每个滤波单元时频域带宽柔性可调,能根据测量要求自适应取得较高的模式分辨率和较短的观测时窗长度。该方法对噪声鲁棒性好,能准确辨识各复合振荡模式,有助于电力系统强非线性模式分析,便于在线监测应用。仿真算例及实例分析结果均表明所提方法的正确性和有效性。A novel method based on concurrent time-frequency atom （TFA） complex band-pass filters was proposed in this paper for online monitoring low frequency oscillation. First several TFA complex band-pass filter units were arranged within the low-frequency band to obtain mode magnitude, frequency and attenuation factor. Second, particle swarm optimization （PSO） algorithm was utilized to estimate the phases and DC component. Each filter has flexible adjustability of its time window and frequency bandwidth. Therefore, high mode resolution and short observation time window can be self-adaptively achieved. The proposed method can identify composite modes and strongly time-varying modes accurately with good noise robustness, catering for online analysis. The simulation results and the field test resultof a real power system all show its correctness and effectiveness.

关 键 词：广域测量系统 时频原子:低频振荡 粒子群优化算法 噪声 复合振荡模式 

分 类 号：TM71[电气工程—电力系统及自动化]